code: def test_low_entropy_distribution(self):
      metric = Entropy()
      logits = torch.Tensor(
          [
              [10000, -10000, -10000, -1000],
              [10000, -10000, -10000, -1000],
          ]
      )
      metric(logits)
      assert metric.get_metric() == 0.0
  
file_path: magnitude/pymagnitude/third_party/allennlp/tests/training/metrics/entropy_test.py
imports: from __future__ import absolute_import
  import torch
  import numpy
  from allennlp.common.testing import AllenNlpTestCase
  from allennlp.training.metrics import Entropy
label_desc: Use image node_id 1 for calling the EntropyTest obj's underlying member method code with example usage: obj.test_low_entropy_distribution() without return types